research

  1. Affective computing
  2. AI for healthcare
  3. AI for industrial

Affective computing

Here are some topics that we are working on
  • Cognitive load, concentration recognition with image and/or biological signals (EEG, ECG, EMG, …).

  • Graph-based contextual emotion recognition: video-based (spatial context, temporal context).

  • Wearable-device based complex emotion recognition: biological signals (EEG, ECG, EMG, …).

Representative publications:
  1. Van Thong Huynh, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, "Prediction of Evoked Expression from Videos with Temporal Position Fusion," Pattern Recognition Letters, Vol. 172, pp. 245-251, August 2023. (2023 IF: 5.1)
  2. Huynh Van Thong, Hyung-Jeong Yang, Guee-Sang Lee, Soo Hyung Kim, “End-to-End Learning for Multimodal Emotion Recognition in Video with Adaptive Loss,” IEEE MultiMedia, Vol. 28, No. 2, pp. 59-66, April-June 2021. (2021 IF: 5.633, JCR10%)
Achievements in the past few years:
  • :1st_place_medal: Winner of the Evoked Expressions from Videos (EEV) Challenge - Affective Understanding in Video Workshop @ CVPR 2021.

    Team SML: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.

  • :1st_place_medal: Winner of the EMOPAIN-2020 Pain Intensity Estimation from Facial Expresions Sub-Challenge - IEEE 2020 Face & Gesture Conference.

    Team members: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.

  • :1st_place_medal: Winner of the Engagement prediction in the Wild - Seventh Emotion Recognition in the Wild Challenge (EmotiW) - 21st ACM International Conference on Multimodal Interaction 2019.

    Team SML: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.


AI for healthcare

Here are some topics that we are working on
  • Clinical data analysis for Rapid Response System.

  • Diagnosis/Survival analysis with medical imaging.


AI for industrial

Here are some topics that we are working on
  • Battery industry: battery life cycle prediction, battery cell defects detection.

  • Energies industry:energy demand forecasting, …